Image Classification-Based Defect Detection of Railway Tracks Using Fiber Bragg Grating Ultrasonic Sensors

Image Classification-Based Defect Detection of Railway Tracks Using Fiber Bragg Grating Ultrasonic Sensors

Structural health monitoring (SHM) is vital to the maintenance of civil infrastructures. For rail transit systems, early defect detection of rail tracks can effectively prevent the occurrence of severe accidents like derailment. Non-destructive testing (NDT) has been implemented in railway online an...

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Bibliographic Details
Main Authors: Da-Zhi Dang, Chun-Cheung Lai, Yi-Qing Ni, Qi Zhao, Boyang Su, Qi-Fan Zhou
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
rail defect detection
image classification
ultrasonic guided wave
fiber Bragg grating
convolutional neural network
Short-time Fourier Transform
Online Access:https://www.mdpi.com/2076-3417/13/1/384

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https://www.mdpi.com/2076-3417/13/1/384

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